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In bioinformatics, a Gene Disease Database is a systematized collection of data, typically structured to model aspects of reality, in a way to comprehend the underlying mechanisms of complex diseases, by understanding multiple composite interactions between phenotype-genotype relationships and gene-disease mechanisms. [1]
Bioinformatics is the name given to these mathematical and computing approaches used to glean understanding of biological processes. Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.
Analytic techniques serve to translate biological data using high-throughput techniques into clinically relevant information. Currently, numerous software and methodologies for querying data exist, and this number continues to grow as more studies are conducted and published in bioinformatics journals such as Genome Biology , BMC Bioinformatics ...
Techniques Besides software tools, such as Clustal Omega , MUSCLE , T-Coffee , and MAFFT , several popular techniques exist for genomic sequence alignment visualization, which plays a crutial role in helping researchers understand generic relationship, functional elements, and evolutionary processes.
The Diseases Database is based on a collection of about 8,500 concepts, called "items", related to human medicine including diseases, drugs, symptoms, physical signs and abnormal laboratory results. [3] In order to link items to both each other and external information resources three sets of metadata are modelled within the database.
List of medical symptoms. Medical symptoms refer to the manifestations or indications of a disease or condition, perceived and complained about by the patient. [1] [2] Patients observe these symptoms and seek medical advice from healthcare professionals.
Legg–Calvé–Perthes disease; Legius syndrome; Leiner's disease; Lelis syndrome; Lemierre's syndrome; Lennox–Gastaut syndrome; Lenz microphthalmia syndrome; Lenz–Majewski syndrome; Leriche's syndrome; Leschke syndrome; Lesch–Nyhan syndrome; Lethal congenital contracture syndrome; Lethal white syndrome
Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases. Biological database design, development, and long-term management is a core area of the discipline of bioinformatics. [3]